• Journal of agriculture & life science
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• v.43 no.2
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• pp.39-46
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• 2009

Ten animal hospitals in Seoul were selected, and of which 41,305 practice in total for recent 1 year were analyzed based on international classification of disease(ICD) of WHO. Of the entire practice, prophylaxis cases accounted for 42.2%. Of the 9,376 cases of internal diseases, digestive system diseases accounted for 4,957 cases(52.9%), respiratory system diseases 1,776 cases(18.9%), circulatory system diseases 1,239 cases(13.2%), and neoplasms diseases 413 cases(4.4%), respectively. In the estate investment expenses, to be specific, rental guarantee deposit accounted for about 50% of the entire estate cost, foregift(48%), and monthly rent(2%). Dividing the income of animal hospitals into medical service, articles selling, and pet-dog beauty, medical service accounted for 71.6% of the entire sales, selling of articles 16.7%, and pet-dog beauty 11.6%. Publicity work for the animal hospital was done mostly through web sites on internet(47%), then through local advertising papers(23.5%), and through bulletins and telemarketing(11.8%). Manpower of the animal hospitals in this study was mostly composed of veterinarians(45.5%) up to about half of the entire staffs, while there was no veterinary technician who had specialized education in that area.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.531-539
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• 2021

Given the rapid development of information and communication technology (ICT) and the deepening of the information gap phenomenon in the context of the COVID-19 pandemic, researchers and practitioners need to understand the changing perceptions of new phenomena such as COVID-19 information gap on the existing information-vulnerable population. In this study, an empirical analysis was performed with the digital information gap survey data in 2020 to understand the potential impact of COVID-19 on the information gap according to the information-vulnerable class. This study is to verify the effect of information gap, marginalized groups, gender, and major factors of information services (contents, social relations, life services, information production, networking, social participation, non-face-to-face services) on the change in perception of digital information technology after Corona. Hierarchical regression analysis was performed. As a result of the analysis, it was found that the higher the content, social relationship, life service, networking, and digital non-face-to-face service, the higher the change in perception of digital information technology after Corona. Therefore, in light of the evolving phenomenon of COVID-19, it is considered that the government needs to provide education and training to strengthen the capabilities of the information-vulnerable class in order to resolve the digital information gap.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.7-14
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• 2019

In this paper, we propose a Cascade Classifier face detection method using the Haar-like feature, which is complemented by the Flood Fill algorithm for lossy areas due to illumination and shadow in YCbCr color space extraction. The Cascade Classifier using Haar-like features can generate noise and loss regions due to lighting, shadow, etc. because skin color extraction using existing YCbCr color space in image only uses threshold value. In order to solve this problem, noise is removed by erosion and expansion calculation, and the loss region is estimated by using the Flood Fill algorithm to estimate the loss region. A threshold value of the YCbCr color space was further allowed for the estimated area. For the remaining loss area, the color was filled in as the average value of the additional allowed areas among the areas estimated above. We extracted faces using Haar-like Cascade Classifier. The accuracy of the proposed method is improved by about 4% and the detection rate of the proposed method is improved by about 2% than that of the Haar-like Cascade Classifier by using only the YCbCr color space.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.109-110
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• 2019

자본주의 사회에서 기업은 이윤의 극대화라는 목표를 이루기 위해, 인간을 하나의 자원으로 간주하여 도구화 하는 경향이 있다. 그 결과 인간소외(alienation) 및 부의 양극화 현상이 심각한 사회적 문제로 거론되고 있다. 오늘날 경제성장에 따른 물질적 풍요와 번영이 인류사회에 행복을 가져다 줄 것이라는 통념은 '물질적 풍요 속의 정신적 빈곤'이라는 문제제기에 의해 그 위상이 흔들리고 있다. 자본주의가 인류사회의 행복과 공동번영에 기여하는 경제체제로서 역할을 다하려면, 자본주의 역시 시대의 변화에 맞추어 진화해야 한다. 본 논문에서는 새 시대에 걸 맞는 자본주의의 대안을 논의하고자, 저자 이재윤이 창시한 깨달음경영학(MOSEE;Management Of allSelves' Enlightenment and Empowerment)의 새로운 과학적 학문연구를 통해 새로운 실현성 영역을 추구하는 동시에, 깨달음경영의 새로운 5차원 요소인 의식(영성) 자원 및 자산(SRA:Spirit Resource and Asset)과 본질적으로 무(無)에서 유(有)를 창조하는 진성 창조경영(MOC:Management Of Creation)의 연구 및 인간의식 성장 방법론에 대하여 발표 하고자 한다. 이로써 현대의 주요한 여러 경영철학들 예컨대 CSV(마이클 포터) SI(개리 함멜) 복잡계 철학 美德경영 등의 내재된 구조적 제약들을 분석 평가하고 한계를 극복하는 방안들을 제시함으로써 21세기 우주 인류 신문명 창달을 위한 5차원의 깨달음경영 혁명을 성취 하고자 한다. 즉 2040년 전에 지구 인류의 고도 영성 초 과학기술 문명을 넘어서 우주 인류의 초 영성 초 과학기술 문명 창달을 선도하는 학문연구 교육 인류 사회활동을 지속적으로 해갈 것이다. 위와 같이 21세기 우주 인류의 영원한 평화 자유 지속적 번영을 이루고자 한다. 본 연구는 통섭 고찰 제2회로 미국의 마이클 포토와 막 클램머의 공유가치(CSV)와 영국의 게리 함멜과 프라할라드의 전략적 의도와 브라이언 아서의 복잡계 경영경제 이론을 통섭을 고찰한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.2
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• pp.23-36
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• 2005

The main obstacle hindering the wide deployment of identity-based cryptosystem is that the entity responsible for creating the private key has too much power. As a result, private keys are no longer private. One obvious solution to this problem is to apply the threshold technique. However, this increases the authentication computation, and communication cost during the key issuing phase. In this paper, we propose a new effi ient model for issuing multiple private keys in identity-based encryption schemes based on the Weil pairing that also alleviates the key escrow problem. In our system, the private key of a user is divided into two components, KGK (Key Description Key) and KUD(Key Usage Desscriptor), which are issued separately by different parties. The KGK is issued in a threshold manner by KIC (Key Issuing Center), whereas the KW is issued by a single authority called KUM (Key Usage Manager). Changing KW results in a different private key. As a result, a user can efficiently obtain a new private key by interacting with KUM. We can also adapt Gentry's time-slot based private key revocation approach to our scheme more efficiently than others. We also show the security of the system and its efficiency by analyzing the existing systems.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• Journal of Apiculture
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• v.34 no.1
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• pp.47-55
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• 2019

Honey bees are a vital part of the food chain as the most important pollinators for a broad palette of crops and wild plants. The climate change and colony collapse disorder (CCD) phenomenon make it challenging to develop ICT solutions to predict changes in beehive and alert about potential threats. In this paper, we report the test results of the bee-counting system which stands out against the previous analogues due to its comprehensive components including an improved dual infrared sensor to detect honey bees entering and leaving the hive, environmental sensors that measure ambient and interior, a wireless network with the bluetooth low energy (BLE) to transmit the sensing data in real time to the gateway, and a cloud which accumulate and analyze data. To assess the system accuracy, 3 persons manually counted the outgoing and incoming honey bees using the video record of 360-minute length. The difference between automatic and manual measurements for outgoing and incoming scores were 3.98% and 4.43% respectively. These differences are relatively lower than previous analogues, which inspires a vision that the tested system is a good candidate to use in precise apicultural industry, scientific research and education.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.327-335
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• 2021

The purpose of this study is to find out the use and inconvenience of informatization devices according to the disability of the elderly. A total 10,097 data from the elderly survey were used to analyze the differences in the possession and use of information devices, usage capabilities, and injustice according to disability. Descriptive analysis was conducted to find out general characteristics and disability-related characteristics. chi-square tests were conducted to find out the difference in informatization and communication device usage ability and information device usage inconvenience according to disability. The p-value was set at 0.001. As a result of the study, the elderly with disabilities in Korea had lower smartphones and tablet PCs than the non-disabled elderly. In terms of daily inconvenience, the elderly with disabilities often responded that they had no experience or did not know about the inconvenience of online reservations for trains/high-speed buses/intercity buses, ordering kiosks at restaurants, using ATMs, or reducing bank stores. Taken together, the ability of the elderly with disabilities in Korea to possess and use informatization devices is very low and they feel more inconvenience than the non-disabled elderly. It is necessary to improve the ability to possess and use informatization devices for the elderly with disabilities in the rapidly progressing aging of the disabled and the informatization of our society.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.151-168
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• 2021

This study compared and analyzed the effect of the burden of household expenditure in the metropolitan and non-metropolitan areas on the intention to childbirth intention to married women using a panel logit model. To this end, this analysis targeted married women aged 25 to 39 who are highly likely to be fertile. The main results are as follows; First of all, it was confirmed that the economic power of spouse can be an important factor in the childbirth intention regardless of region. Second, it was found that the higher the satisfaction of marriage had a positive effect on the childbirth intention, and also higher the value that children must have, the higher the childbirth intention. Third, it was confirmed that the burden of household expenditure is the most important factor in the willingness to childbirth intention, excluding factors such as the number of existing children. In particular, the burden on education spending in both the capital region and non-capital region was found to be a key reason for the decrease in the childbirth intention. Lastly, the burden of household expenditure showed different effects on childbirth intention on depending on the region. Specifically, in the capital region, medical spending and loans had a greater impact, while, in the non-capital region, transportation and communication costs had a greater impact on childbirth intentions. Through the results, this study confirmed the implication that easing the burden on household expenditure is continuously necessary to enhance childbirth, and that discriminatory policy approaches are required depending on the area of residence.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.91-106
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• 2022

This study targets four Soho fashion shopping malls that are operating successfully in the online fashion market. This study analyzed the entrepreneurship process by dividing it into three stages. The results of the case study are as follows. In the case of Company S, the founder, who had little work experience, started an e-commerce business with a sense of fashion and entrepreneurship. It is a contemporary, casual brand with competitive prices, design power, and diverse product assortment, and the business performance was achieved through data management and analysis and the diversification of distribution channels. In the case of Company B, the founder, who had little work experience, started a manufacturing and e-commerce business by leveraging their SNS network capabilities and entrepreneurial spirit. It is a contemporary fashion brand with product competitiveness of specific items and start-up characteristics, and performance was achieved through the establishment of brand identity and market expansion. Third, Company M and Company C are examples of Soho fashion shopping malls where the founders with more extensive work experience at the time of founding their respective start-ups focused on brand recognition as their core competitiveness. In the case of Company M, the apparel brand was launched with a wealth of experience and design spirit. It is a fashion designer brand that stands out for its sensibility, and the owner has achieved performance through various entrepreneurial activities that broaden the corporate horizon. Company C is a manufacturing and e-commerce brand that was started with design capabilities and an entrepreneurial spirit. It is a luxury fashion brand that focuses on emotional expression, and the outcomes, such as brand recognition and sales, were achieved through active customer management. The results of this study can be used as basic data in education for and research of Soho shopping malls and the prospective founders.